This document discusses challenges for machine learning models of event extraction. It summarizes different approaches to modeling events, from simple relations to complex hierarchical decompositions. It notes challenges like associating ontologies with textual realizations, learning connectivity criteria for event relations, and developing formal frameworks that can handle the representational richness of events while remaining tractable. Clinical and biological event examples are also briefly discussed.